Kavya Manohar

Machine Learning Researcher at Adalat AI

Thiruvananthapuram, Kerala, India
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Summary

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Kavya Manohar is a machine learning researcher and computational linguist with 12 years of experience bridging signal processing, speech technology and language engineering, currently developing ASR for extremely low-resource languages at Adalat AI. She holds a PhD in Speech and Language Processing and led the first quantitative analysis of Malayalam morphological complexity, plus a multifunctional grapheme-to-phoneme system and the Mlphon Python library as open-source contributions. Her work spans practical ASR toolchains (contributions to Kaldi), multilingual G2P (Epitran), and improving accessibility through Malayalam localization for Mozilla Common Voice and OpenType font engineering. Previously an assistant professor, she combines teaching and research strengths to publish in Q1/Q2 SCIE journals and present at international NLP conferences. Based in Thiruvananthapuram, she regularly shares learnings on her blog and focuses on making linguistic resources and tooling available for underrepresented Dravidian languages.
code12 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering, Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering at APJ Abdul Kalam Technological University
bookM.Tech, Communication Engineering and Siganal Processing, M.Tech, Communication Engineering and Siganal Processing at Government Engineering College, Thrissur
bookB.Tech, Electronics and Communication Engineering, B.Tech, Electronics and Communication Engineering at Government Engineering College, Barton Hill, Thiruvananthapuram
bookAISSCE, Physics, Mathematics, Chemistry, Computer Science, 91%, AISSCE, Physics, Mathematics, Chemistry, Computer Science, 91% at De Paul Public School Thodupuzha
languagesEnglish, Malayalam
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Stackoverflow

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1question
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Github Skills (8)

internationalization10
localization10
crowdsourcing8
open-data7
voice6
matlab6
signal-processing6
octave6

Programming languages (10)

TypeScriptShellsedVueJavaScriptFluentHTMLJupyter Notebook

Github contributions (5)

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common-voice/common-voice

Apr 2019 - Nov 2021

Common Voice is part of Mozilla's initiative to help teach machines how real people speak.
Role in this project:
userLocalization / Internationalization Specialist
Contributions:18 commits in 2 years 6 months
Contributions summary:Kavya's commits primarily focus on updating the Malayalam (ml) localization for the Common Voice project. This includes translating and adapting text strings within the `messages.ftl` file, which contains UI text, and `cross-locale.ftl`, which appears to contain cross-language elements. The user's work involves adding new translations, correcting existing ones, and ensuring the accurate representation of the Malayalam language within the project's user interface. The user's contributions directly improve the accessibility and usability of the Common Voice platform for Malayalam speakers.
internet-freedommachinesinitiativeopen-datavoice
kavyamanohar/mlphon

Jan 2017 - Sep 2022

Malayalam phonetic analyser using fst. It is the mirror of https://gitlab.com/smc/mlphon
Contributions:278 commits, 2 PRs, 59 pushes in 5 years 9 months
phoneticmalayalamanalysergitlabfst
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Kavya Manohar - Machine Learning Researcher at Adalat AI